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Self-Organized Criticality and Trend Analysis in Time Series of Blackouts for the China Power Grid
Joint Authors
Yu, Qun
Cao, Na
Liu, Qilin
Qu, Yuqing
Zhang, Yumin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-29
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes effective evidence on the correlation between trend and self-organized criticality (SOC) of the power outage sequence in China.
Taking the data series of blackouts from 1981 to 2014 in the China power grid as the research object, the method of V/S is introduced into the analysis of the power system blackout sequence to demonstrate their prominent long-time correlations.
It also verifies the probability distribution of load loss about blackout size in the China power grid has a tail feature, which shows that the time series of blackouts in the China power grid is consistent with SOC.
Meanwhile, a kind of mathematical statistics analysis is presented to prove that there is a seasonal trend of blackouts, and the blackout frequency and blackout size have not decreased over time but have an upward trend in the China power grid, thereby indicating that blackout risk may be increasing with time.
The last 34 years’ data samples of power failure accidents in the China power grid are used to test the proposed method, and the numerical results show that the proposed self-organized criticality and trend analysis method can pave the way for further exploration of the mechanism of power failure in the China power grid.
American Psychological Association (APA)
Yu, Qun& Cao, Na& Liu, Qilin& Qu, Yuqing& Zhang, Yumin. 2020. Self-Organized Criticality and Trend Analysis in Time Series of Blackouts for the China Power Grid. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194179
Modern Language Association (MLA)
Yu, Qun…[et al.]. Self-Organized Criticality and Trend Analysis in Time Series of Blackouts for the China Power Grid. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1194179
American Medical Association (AMA)
Yu, Qun& Cao, Na& Liu, Qilin& Qu, Yuqing& Zhang, Yumin. Self-Organized Criticality and Trend Analysis in Time Series of Blackouts for the China Power Grid. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194179
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194179